Cómo hacer que un agente de LangChain devuelva un Excel

# pip install langchain-mcp-adapters "langchain[anthropic]"
import asyncio
import os

from langchain.agents import create_agent
from langchain_mcp_adapters.client import MultiServerMCPClient


async def main():
    client = MultiServerMCPClient({
        "doconda": {
            "transport": "streamable_http",
            "url": "https://api.eu.doconda.com/mcp",
            "headers": {"Authorization": f"Bearer {os.environ['DOCONDA_API_KEY']}"},
        },
    })
    agent = create_agent("anthropic:claude-sonnet-5-5", await client.get_tools())
    result = await agent.ainvoke({"messages": [{"role": "user", "content": "Hazme un Excel con el presupuesto del evento"}]})
    print(result["messages"][-1].content)


asyncio.run(main())

// npm install @langchain/mcp-adapters langchain @langchain/core @langchain/langgraph
import { MultiServerMCPClient } from "@langchain/mcp-adapters"
import { createAgent } from "langchain"

const client = new MultiServerMCPClient({
  doconda: {
    transport: "http",
    url: "https://api.eu.doconda.com/mcp",
    headers: { Authorization: `Bearer ${process.env.DOCONDA_API_KEY}` },
  },
})

const agent = createAgent({ model: "anthropic:claude-sonnet-5-5", tools: await client.getTools() })
const result = await agent.invoke({ messages: [{ role: "user", content: "Hazme un Excel con el presupuesto del evento" }] })
console.log(result.messages.at(-1)?.content)
await client.close()